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Sziburis, Tim and Nowak, Markus and Brunelli, Davide (2021) KNN Learning Techniques for Proportional Myocontrol in Prosthetics. In: ICNR 2020: Converging Clinical and Engineering Research on Neurorehabilitation IV. International Conference on NeuroRehabilitation, 2021, virtuell. doi: 10.1007/978-3-030-70316-5_109. ISSN 2195-3562.
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Official URL: https://link.springer.com/chapter/10.1007/978-3-030-70316-5_109
Abstract
This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification technique for gesture recognition, extended by a proportionality scheme. The methods proposed are practically implemented and validated. Datasets are captured by means of a state-of-the-art 8-channel electromyography (EMG) armband positioned on the forearm. Based on this data, the influence of kNNs parameters is analyzed in pilot experiments. Moreover, the effect of proportionality scaling and rest thresholding schemes is investigated. A randomized, double-blind user study is conducted to compare the implemented method with the state-of-research algorithm Ridge Regression with Random Fourier Features (RR-RFF) for different levels of gesture exertion. The results from these experiments show a statistically significant improvement in favour of the kNN-based algorithm.
| Item URL in elib: | https://elib.dlr.de/147141/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | KNN Learning Techniques for Proportional Myocontrol in Prosthetics | ||||||||||||||||
| Authors: |
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| Date: | 2021 | ||||||||||||||||
| Journal or Publication Title: | ICNR 2020: Converging Clinical and Engineering Research on Neurorehabilitation IV | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.1007/978-3-030-70316-5_109 | ||||||||||||||||
| ISSN: | 2195-3562 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | kNN, myocontrol, prosthetics | ||||||||||||||||
| Event Title: | International Conference on NeuroRehabilitation | ||||||||||||||||
| Event Location: | virtuell | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Date: | 2021 | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Robotics | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R RO - Robotics | ||||||||||||||||
| DLR - Research theme (Project): | R - Intelligent Mobility (RM) [RO] | ||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics | ||||||||||||||||
| Deposited By: | Nowak, Markus | ||||||||||||||||
| Deposited On: | 09 Dec 2021 17:17 | ||||||||||||||||
| Last Modified: | 14 Oct 2024 15:17 |
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